Fault detection method and device for soot blower in coal-fired power plant

By using temperature detection modules and data processing systems in the coal-fired boiler ash blower, the valve status is accurately detected, and the problem of inaccurate judgment of valve status in the prior art is solved, the detection accuracy is improved and boiler leakage and unit shutdown is avoided.

CN119508828APending Publication Date: 2025-02-25HUANENG QINGDAO THERMAL POWER CO LTD
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Patent Information

Application Number
CN202411394939.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-08
Publication Date
2025-02-25

AI Technical Summary

Technical Problem

The operating status of the existing coal-fired boiler soot blowers is difficult to accurately judge, which leads to the inability to truly reflect the actual state of the valve when the mechanical transmission fails, causing leakage of the boiler heating surface.

Method used

The temperature detection module is used to detect the temperature at the soot blower valve, and data processing is performed through the intelligent data acquisition front-end module and the DCS control module to obtain the valve's opening and closing state and preset temperature value, and detect the fault state of the soot blower based on these data.

Benefits of technology

It improves the accuracy of the soot blower valve status detection, avoids leakage of the boiler heating surface and abnormal shutdown of power plant units.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention provides a fault detection method and device for a soot blower in a coal-fired power plant, and the method comprises the steps: detecting the temperature of a valve of the soot blower through a temperature detection module, and transmitting the temperature to an intelligent data collection front-end module; the intelligent data acquisition front-end module packs the temperature into a digital signal temperature value and transmits the digital signal temperature value to the DCS control module; unpacking the digital signal temperature value into an analog signal temperature value through a DCS control module; the opening and closing state of a valve of the soot blower and a preset temperature value corresponding to the opening and closing state are obtained through a DCS control module; through a DCS control module, temperature values of all analog signals within a preset time period after the opening and closing state is obtained are selected; the soot blower is detected through the DCS control module according to the opening and closing state, the preset temperature value corresponding to the opening and closing state and the selected analog signal temperature values, the problem that the actual state of the valve of the soot blower cannot be truly reflected when mechanical transmission breaks down is solved, and the accuracy of the detection result is improved.
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Description

Technical Field

[0001] The invention relates to the technical field of coal-fired power plants, and in particular to a fault detection method and device for a soot blower in a coal-fired power plant. Background Art

[0002] The abnormal shutdown of thermal power plant units is one of the factors that affect the safety and economy of power generation units. According to statistics, among the factors causing abnormal shutdown of units, leakage of heating surfaces of coal-fired boilers accounts for about 50%, and sootblower failure is an important cause of leakage of boiler heating surfaces.

[0003] The operating status of existing coal-fired boiler sootblowers generally relies on mechanical transmission to trigger the limit switch, thereby judging the open and closed status of the sootblower valve of the sootblower. However, after long-term operation of the mechanical transmission, there is often a high failure rate. When the mechanical transmission fails, it is impossible to truly reflect the actual status of the sootblower valve, which eventually leads to the sootblowing steam flushing the boiler heating surface for a long time, causing the boiler heating surface to leak. Summary of the invention

[0004] The present invention provides a fault detection method and device for a soot blower in a coal-fired power plant, which are used to solve the technical problem that the valve operating state of the soot blower cannot be accurately judged in the prior art.

[0005] On the one hand, the present invention provides a fault detection method for a soot blower in a coal-fired power plant, the fault detection method is applied to a fault detection system, the fault detection system includes a temperature detection module, an intelligent data acquisition front-end module and a DCS control module, the temperature detection module is arranged at the valve of the soot blower, and the fault detection method includes:

[0006] The temperature at the valve of the sootblower is detected by the temperature detection module and transmitted to the intelligent data acquisition front-end module;

[0007] The temperature is packaged into a digital signal temperature value through the intelligent data acquisition front-end module and transmitted to the DCS control module;

[0008] Unpacking the digital signal temperature value into an analog signal temperature value through the DCS control module;

[0009] Acquiring the open / closed state of the valve of the sootblower and the preset temperature value corresponding to the open / closed state through the DCS control module;

[0010] By means of the DCS control module, each analog signal temperature value within a preset time period after the opening and closing state is obtained is selected;

[0011] The soot blower is detected by the DCS control module according to the open / closed state, the preset temperature value corresponding to the open / closed state, and each selected temperature value of the analog signal.

[0012] According to a fault detection method for a soot blower in a coal-fired power plant provided by the present invention, when the on-off state is a closed state, the on-off state corresponds to a first preset temperature value, and the soot blower is detected according to the on-off state, the preset temperature value corresponding to the on-off state, and each selected analog signal temperature value, including:

[0013] Filtering out the analog signal temperature value at the last acquisition moment from the analog signal temperature values;

[0014] Comparing the temperature value of the analog signal at the last acquisition moment with the first preset temperature value;

[0015] When the temperature value of the analog signal at the last acquisition moment is greater than the first preset temperature value, it is determined that the valve of the sootblower is in a first fault state.

[0016] According to a fault detection method for a soot blower in a coal-fired power plant provided by the present invention, when the temperature value of the analog signal at the last acquisition moment is less than or equal to the first preset temperature value, a temperature drop curve is generated based on the sequence of the acquisition moments of the temperature values ​​of the analog signal;

[0017] Determining the temperature drop smoothness of the temperature drop curve;

[0018] When the descent smoothness does not meet the preset descent smoothness threshold, it is determined that the valve of the sootblower is in a second fault state; wherein the fault level of the second fault state is lower than that of the first fault state, and the smaller the fault level, the lower the degree of harm.

[0019] According to a fault detection method for a soot blower in a coal-fired power plant provided by the present invention, when the descent smoothness satisfies the preset descent smoothness threshold, it is determined that the valve of the soot blower is in a non-fault state.

[0020] According to a fault detection method for a soot blower in a coal-fired power plant provided by the present invention, when the on-off state is an open state, the on-off state corresponds to a second preset temperature value, and the second preset temperature value is greater than the first preset temperature value, and the soot blower is detected according to the on-off state, the preset temperature value corresponding to the on-off state, and each selected analog signal temperature value, including:

[0021] Filtering out the analog signal temperature value at the last acquisition moment from the analog signal temperature values;

[0022] Comparing the temperature value of the analog signal at the last acquisition moment with the second preset temperature value;

[0023] When the temperature value of the analog signal at the last acquisition moment is less than the second preset temperature value, it is determined that the valve of the sootblower is in the third fault state.

[0024] According to a fault detection method for a soot blower in a coal-fired power plant provided by the present invention, when the temperature value of the analog signal at the last acquisition moment is greater than or equal to the second preset temperature value, a temperature rise curve is generated based on the sequence of the acquisition moments of the temperature values ​​of the analog signal;

[0025] Determining the rising smoothness of the temperature rising curve;

[0026] When the rising smoothness does not meet the preset rising smoothness threshold, it is determined that the valve of the sootblower is in the fourth fault state; wherein the fault level of the fourth fault state is lower than that of the third fault state, and the smaller the fault level, the lower the degree of harm.

[0027] According to a fault detection method for a soot blower in a coal-fired power plant provided by the present invention, when the rising smoothness satisfies the preset rising smoothness threshold, it is determined that the valve of the soot blower is in a non-fault state.

[0028] According to a fault detection method for a soot blower in a coal-fired power plant provided by the present invention, the intelligent data acquisition front-end module has a touch display screen, and the fault detection method further includes:

[0029] The connection status of the intelligent data acquisition front-end module, the DCS control module and each of the temperature detection modules is displayed through the touch display screen.

[0030] According to a fault detection method for a soot blower in a coal-fired power plant provided by the present invention, when it is determined that the soot blower is in a fault state, the fault detection method further includes:

[0031] The DCS control module outputs alarm information.

[0032] On the other hand, the present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, a soot blower fault detection method in a coal-fired power plant as described above is implemented.

[0033] The fault detection method and device of the soot blower in the coal-fired power plant provided by the present invention detects the temperature at the valve of the soot blower through the temperature detection module and transmits it to the intelligent data acquisition front-end module; the temperature is packaged into a digital signal temperature value through the intelligent data acquisition front-end module and transmitted to the DCS control module; the digital signal temperature value is unpacked into an analog signal temperature value through the DCS control module; the opening and closing state of the valve of the soot blower and the preset temperature value corresponding to the opening and closing state are obtained through the DCS control module; each analog signal temperature value within a preset time period after the opening and closing state is obtained is selected through the DCS control module; the soot blower is detected according to the opening and closing state, the preset temperature value corresponding to the opening and closing state, and each selected analog signal temperature value through the DCS control module. This embodiment detects the soot blower based on the temperature at the valve, avoids the problem that the actual state of the valve of the soot blower cannot be truly reflected when the mechanical transmission fails, and improves the accuracy of the detection result. At the same time, sootblower failure is an important cause of boiler heating surface leakage, and coal-fired boiler heating surface leakage is a factor causing abnormal shutdown of the unit. This embodiment can ultimately avoid boiler heating surface leakage and abnormal shutdown of power plant units. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0035] Figure 1 It is a flow chart of a fault detection method for a soot blower in a coal-fired power plant provided by an embodiment of the present invention;

[0036] Figure 2 It is a structural schematic diagram of a soot blower fault detection system in a coal-fired power plant provided by an embodiment of the present invention;

[0037] Figure 3 It is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0038] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] Figure 1The present invention provides a flow chart of a method for detecting a soot blower fault in a coal-fired power plant. The method is applied to a fault detection system, which may include a temperature detection module, an intelligent data acquisition front-end module (Intelligent Data Application System, IDAS for short) and a distributed control system control module (Distributed Control System, DCS for short). The temperature detection module is arranged at the valve of the soot blower.

[0040] See also Figure 1 , the fault detection method of the soot blower in the coal-fired power plant may include the following steps 101 to 106.

[0041] 101. The temperature at the valve of the soot blower is detected by a temperature detection module and transmitted to an intelligent data acquisition front-end module.

[0042] In this step, the temperature detection module can be set within a preset range of the valve. Generally, the temperature detection module can be preferably set on the rear side of the valve, that is, the outlet side of the valve, so that a more accurate temperature value can be measured.

[0043] 102. The temperature is packaged into a digital signal temperature value through the intelligent data acquisition front-end module and transmitted to the DCS control module.

[0044] In this step, the temperature is packaged as a digital signal temperature value and transmitted to the DCS control module. The signal attenuation and noise interference have little effect on the data, which can effectively reduce the transmission error. The digital signal temperature value can also accurately represent the temperature value, which is convenient for subsequent precise control and processing, and also has strong anti-interference ability. Generally, the digital signal temperature value can be transmitted to the DCS control module through RJ45 network cable or communication bus.

[0045] 103. Unpack the digital signal temperature value into an analog signal temperature value through the DCS control module.

[0046] In this step, the digital signal temperature value is unpacked into an analog signal temperature value, which can improve the compatibility of the temperature value so that the temperature value can be recognized. The analog signal temperature value may provide a faster real-time response, have a faster processing efficiency, and help improve the overall processing speed.

[0047] 104. Obtain the open / closed state of the valve of the soot blower and the preset temperature value corresponding to the open / closed state through the DCS control module.

[0048] In this step, the working principle of the DCS control module involves the conversion and processing of multiple signals, including the processing of DI signals, which refers to the status information obtained from field equipment. When the valve of the soot blower is in the open or closed state, a reach signal is sent through the travel switch, and this signal is sent back to the DI module. Subsequently, this DI signal is transmitted to the main control module through the network to determine whether the valve of the soot blower has been opened or closed. This process ensures that the DCS control module can obtain the open and closed status of the soot blower valve in real time. The obtained valve status can also be displayed on the display screen to provide the operator with real-time equipment status information, which is helpful for corresponding control and adjustment.

[0049] 105. Through the DCS control module, each analog signal temperature value within a preset time period after the opening and closing state is obtained is selected.

[0050] In this step, it can be understood that the DCS control module can obtain the opening and closing state of the valve in real time. Starting from the moment when the opening and closing state is obtained, the time is accumulated. When the time is accumulated to a preset time period, the temperature values ​​of each analog signal within the preset time period can be selected. In general, the selection of each analog signal temperature value within the preset time period after the opening and closing state is obtained can be executed when the opening and closing state of the valve changes, for example, when the valve changes from an open state to a closed state, or from a closed state to an open state, so as to reduce the number of operations and reduce the operation load.

[0051] The preset time period can be set, and generally needs to be longer than the opening time required for the valve to be fully opened, and also longer than the closing time required for the valve to be fully closed. For example, it can be set to any value between 20-40 minutes, or other values. This embodiment does not make specific limitations on this.

[0052] 106. Through the DCS control module, the soot blower is detected according to the open and closed state, the preset temperature value corresponding to the open and closed state, and the selected temperature values ​​of each analog signal.

[0053] In this step, the technical personnel in this field lack creativity and have ideological constraints. When faced with the problem of abnormal shutdown of power plant units, they cannot directly think of avoiding the problem by detecting the temperature at the valve. This embodiment breaks through the ideological constraints and achieves unexpected technical effects.

[0054] In this embodiment, the temperature at the valve of the soot blower is detected by the temperature detection module and transmitted to the intelligent data acquisition front-end module; the temperature is packaged into a digital signal temperature value by the intelligent data acquisition front-end module and transmitted to the DCS control module; the digital signal temperature value is unpacked into an analog signal temperature value by the DCS control module; the opening and closing state of the valve of the soot blower and the preset temperature value corresponding to the opening and closing state are obtained by the DCS control module; the temperature values ​​of each analog signal within a preset time period after the opening and closing state is obtained are selected by the DCS control module; the soot blower is detected by the DCS control module according to the opening and closing state, the preset temperature value corresponding to the opening and closing state, and the selected temperature values ​​of each analog signal. This embodiment detects the soot blower based on the temperature at the valve, avoids the problem that the actual state of the valve of the soot blower cannot be truly reflected when the mechanical transmission fails, and improves the accuracy of the detection result. At the same time, soot blower failure is an important cause of boiler heating surface leakage, and the leakage of the heating surface of the coal-fired boiler is a factor causing abnormal shutdown of the unit. This embodiment can ultimately avoid the problem of boiler heating surface leakage and abnormal shutdown of the power plant unit.

[0055] In one embodiment of the present specification, when the opening and closing state is the closed state, the opening and closing state corresponds to a first preset temperature value, and the soot blower is detected according to the opening and closing state, the preset temperature value corresponding to the opening and closing state, and each selected temperature value of the analog signal, and may include:

[0056] Filtering out the analog signal temperature value at the last acquisition moment from the analog signal temperature values;

[0057] Comparing the temperature value of the analog signal at the last acquisition moment with the first preset temperature value;

[0058] When the temperature value of the analog signal at the last acquisition moment is greater than the first preset temperature value, it is determined that the valve of the sootblower is in a first fault state.

[0059] In this embodiment, when the opening and closing state is the closed state, the temperature at the valve is relatively low, and the first preset temperature value can generally be any value between 20-40°C. Of course, it can also be set according to the ambient temperature of the valve, and this embodiment does not specifically limit this. When the valve is closed, the temperature at the valve should be gradually reduced. The temperature value of the analog signal at the last acquisition moment is the minimum value of each analog signal temperature value. When the temperature value of the analog signal at the last acquisition moment is greater than the first preset temperature value, it indicates that hot steam is still flowing out of the valve, and it is determined that the valve of the soot blower is in the first fault state. The first fault state may also indicate that the valve is not actually closed or not completely closed, that is, it indicates that the actual state of the valve does not match the acquired state of the valve. By comparing the acquired temperature with the first preset temperature value, this embodiment can very accurately determine whether there is a fault in the closing of the valve.

[0060] In one embodiment of the present specification, when the temperature value of the analog signal at the last acquisition moment is less than or equal to the first preset temperature value, a temperature drop curve is generated based on the sequence of acquisition moments of the temperature values ​​of the analog signal;

[0061] Determining the temperature drop smoothness of the temperature drop curve;

[0062] When the descent smoothness does not meet the preset descent smoothness threshold, it is determined that the valve of the sootblower is in a second fault state; wherein the fault level of the second fault state is lower than that of the first fault state, and the smaller the fault level, the lower the degree of harm.

[0063] In this embodiment, a two-dimensional coordinate system can be established, in which one coordinate axis represents time and one coordinate axis represents temperature value. Based on the acquisition time of each analog signal temperature value, the position of each analog signal temperature value in the two-dimensional coordinate system can be obtained, and then the temperature drop curve can be obtained. When the analog signal temperature value at the last acquisition time is less than or equal to the first preset temperature value, it means that the valve is actually in a closed state, and the actual state of the valve is consistent with the acquired state.

[0064] However, in addition to considering whether the actual state of the valve is consistent with the acquired state, this embodiment also considers whether the closing process of the valve is smooth and whether there is a jam. When the closing process of the valve is very smooth, the valve is in a process of uniform closing, that is, the temperature at the valve is gradually reduced, and the temperature will not stay at certain temperature values ​​for too long during the temperature drop. Therefore, based on the sequence of the acquisition moments of the temperature values ​​of each analog signal, a temperature drop curve is generated, and the drop smoothness of the temperature drop curve is determined. When the drop smoothness does not meet the preset drop smoothness threshold, the valve of the soot blower is determined to be in the second fault state, indicating that a jam occurred when the valve was closed. This embodiment can prevent valve failures and prevent the failures from further deteriorating.

[0065] There are many ways to detect the smoothness of a curve. For example, by calculating the first-order derivative of the curve and analyzing the volatility of the derivative, the smaller the standard deviation of the derivative, the smoother the curve; using smoothing algorithms such as the Savitzky-Golay filter to evaluate the changes in the curve before and after filtering, the better the filtering effect, the smoother the curve; using polynomial fitting or spline interpolation to calculate the fitting error, the smaller the fitting error, the smoother the curve; applying an exponential smoothing algorithm to analyze the changes in the curve after smoothing, the better the smoothing effect, the smoother the curve, and so on.

[0066] In an embodiment of the present specification, when the descent smoothness satisfies the preset descent smoothness threshold, it is determined that the valve of the sootblower is in a non-fault state low.

[0067] In this embodiment, when the falling smoothness satisfies the preset falling smoothness threshold, it means that the valve closing process is very smooth without any jamming. Therefore, it is determined that the valve of the soot blower is in a non-fault state.

[0068] In one embodiment of the present specification, when the opening and closing state is an open state, the opening and closing state corresponds to a second preset temperature value, and the second preset temperature value is greater than the first preset temperature value, and the soot blower is detected according to the opening and closing state, the preset temperature value corresponding to the opening and closing state, and each selected temperature value of the analog signal, may include:

[0069] Filtering out the analog signal temperature value at the last acquisition moment from the analog signal temperature values;

[0070] Comparing the temperature value of the analog signal at the last acquisition moment with the second preset temperature value;

[0071] When the temperature value of the analog signal at the last acquisition moment is less than the second preset temperature value, it is determined that the valve of the sootblower is in the third fault state.

[0072] In this embodiment, when the opening and closing state is the open state, the temperature at the valve is relatively high, and the second preset temperature value can generally be any value between 180-240°C. Of course, it can also be set according to actual conditions, and this embodiment does not specifically limit this. When the valve is opened, the temperature at the valve should gradually increase. The temperature value of the analog signal at the last acquisition moment is the maximum value of each of the analog signal temperature values. When the temperature value of the analog signal at the last acquisition moment is less than the second preset temperature value, it indicates that no hot steam flows out of the valve, or very little hot steam flows out. Therefore, it is determined that the valve of the soot blower is in the third fault state. The third fault state can also mean that the valve is not actually open or not fully open, that is, it means that the actual state of the valve does not match the acquired state of the valve. By comparing the acquired temperature with the second preset temperature value, this embodiment can very accurately determine whether there is a fault in the opening of the valve.

[0073] In one embodiment of the present specification, when the temperature value of the analog signal at the last acquisition moment is greater than or equal to the second preset temperature value, a temperature rise curve is generated based on the sequence of acquisition moments of the temperature values ​​of the analog signal;

[0074] Determining the rising smoothness of the temperature rising curve;

[0075] When the rising smoothness does not meet the preset rising smoothness threshold, it is determined that the valve of the sootblower is in the fourth fault state; wherein the fault level of the fourth fault state is lower than that of the third fault state, and the smaller the fault level, the lower the degree of harm.

[0076] In this embodiment, when the temperature value of the analog signal at the last acquisition moment is greater than or equal to the second preset temperature value, it indicates that the valve is actually in an open state, and the actual state of the valve is consistent with the acquired state.

[0077] However, in addition to considering whether the actual state of the valve is consistent with the acquired state, this embodiment also considers whether the opening process of the valve is smooth and whether there is any jamming. When the opening process of the valve is very smooth, the valve is in a process of uniform opening, that is, the temperature at the valve is gradually rising, and it will not stay at certain temperature values ​​for too long during the temperature rise process. Based on the sequence of the acquisition moments of the temperature values ​​of each analog signal, a temperature rise curve is generated, and the rising smoothness of the temperature rise curve is determined. When the rising smoothness does not meet the preset rising smoothness threshold, the valve of the soot blower is determined to be in the fourth fault state. The fourth fault state indicates that a jamming phenomenon occurs when the valve is opened. This embodiment can prevent valve failures and prevent the failures from further deteriorating.

[0078] In one embodiment of the present specification, when the rising smoothness satisfies the preset rising smoothness threshold, it is determined that the valve of the sootblower is in a non-fault state low.

[0079] In this embodiment, when the rising smoothness satisfies the preset rising smoothness threshold, it means that the valve is opened very smoothly without any jamming. Therefore, it is determined that the valve of the soot blower is in a non-fault state.

[0080] In one embodiment of the present specification, the intelligent data acquisition front-end module has a touch display screen, and the fault detection method may further include:

[0081] The connection status of the intelligent data acquisition front-end module, the DCS control module and each of the temperature detection modules is displayed through the touch display screen.

[0082] In this embodiment, there are often multiple soot blowers in a coal-fired power plant, for example, 100 soot blowers. A temperature detection module needs to be set at the valve of each soot blower to detect the temperature. Therefore, the intelligent data acquisition front-end module needs to be connected to the above-mentioned temperature detection modules for signal connection. The connection status of the intelligent data acquisition front-end module, the DCS control module and each temperature detection module is displayed by the touch display screen, which is convenient for relevant personnel to observe the connection status of the fault detection system so that when the connection is disconnected, it can be handled in time. Relevant personnel can operate the touch display screen to make the touch display screen display the information they need to know. For example, when the number of temperature detection modules is large, relevant personnel can manually switch the real-time value of any displayed temperature detection module through the touch display screen.

[0083] In one embodiment of the present specification, when it is determined that the sootblower is in a fault state, the fault detection method may further include:

[0084] The DCS control module outputs alarm information.

[0085] In this embodiment, when it is determined that the soot blower is in a fault state, an alarm message is output through the DCS control module to remind the operation and maintenance personnel to handle it in time. The alarm message can be a sound alarm message, a light alarm message, or other types of alarm messages. For example, when the fault is in the first fault state, a sound is issued to remind that the valve is closed, when in the second fault state, a sound is issued to remind that the valve is closed and stuck, when in the third fault state, a sound is issued to remind that the valve is open, and when in the fourth fault state, a sound is issued to remind that the valve is open and stuck.

[0086] Figure 2The structure diagram of the fault detection system of the soot blower in the coal-fired power plant provided by the embodiment of the present invention is shown in FIG. The fault detection system 30 comprises a temperature detection module 301, an intelligent data acquisition front-end module 302 and a DCS control module 303, wherein the temperature detection module 301 is arranged at the valve of the soot blower.

[0087] The temperature detection module 301 detects the temperature at the valve of the soot blower and transmits it to the intelligent data acquisition front-end module 302;

[0088] The intelligent data acquisition front-end module 302 packages the temperature into a digital signal temperature value and transmits it to the DCS control module 303;

[0089] The DCS control module 303 unpacks the digital signal temperature value into an analog signal temperature value;

[0090] The DCS control module 303 obtains the open / closed state of the valve of the sootblower and the preset temperature value corresponding to the open / closed state;

[0091] The DCS control module 303 selects each analog signal temperature value within a preset time period after the open / close state is obtained;

[0092] The DCS control module 303 detects the sootblower according to the open / closed state, a preset temperature value corresponding to the open / closed state, and each selected temperature value of the analog signal.

[0093] Figure 3 It is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention.

[0094] like Figure 3 As shown, the electronic device may include: a processor 610, a communication interface 620, a memory 630 and a communication bus 640, wherein the processor 610, the communication interface 620 and the memory 630 communicate with each other through the communication bus 640. The processor 610 may call the logic instructions in the memory 630 to execute the fault detection method of the soot blower in the coal-fired power plant.

[0095] In addition, the logic instructions in the above-mentioned memory 630 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0096] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the soot blower fault detection method in a coal-fired power plant provided by the above-mentioned methods.

[0097] In yet another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the sootblower fault detection method in a coal-fired power plant provided by the above methods.

[0098] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0099] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0100] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for detecting a soot blower fault in a coal-fired power plant, characterized in that: The fault detection method is applied to a fault detection system, which includes a temperature detection module, an intelligent data acquisition front-end module and a DCS control module. The temperature detection module is arranged at the valve of the soot blower. The fault detection method includes: The temperature at the valve of the sootblower is detected by the temperature detection module and transmitted to the intelligent data acquisition front-end module; The temperature is packaged into a digital signal temperature value through the intelligent data acquisition front-end module and transmitted to the DCS control module; Unpacking the digital signal temperature value into an analog signal temperature value through the DCS control module; Acquiring the open / closed state of the valve of the sootblower and the preset temperature value corresponding to the open / closed state through the DCS control module; By means of the DCS control module, each analog signal temperature value within a preset time period after the opening and closing state is obtained is selected; The soot blower is detected by the DCS control module according to the open / closed state, the preset temperature value corresponding to the open / closed state, and each selected temperature value of the analog signal.

2. The method for detecting a soot blower fault in a coal-fired power plant according to claim 1, characterized in that: When the opening and closing state is the closed state, the opening and closing state corresponds to a first preset temperature value, and the soot blower is detected according to the opening and closing state, the preset temperature value corresponding to the opening and closing state, and each selected temperature value of the analog signal, including: Filtering out the analog signal temperature value at the last acquisition moment from the analog signal temperature values; Comparing the temperature value of the analog signal at the last acquisition moment with the first preset temperature value; When the temperature value of the analog signal at the last acquisition moment is greater than the first preset temperature value, it is determined that the valve of the sootblower is in a first fault state.

3. The fault detection method of soot blower in coal-fired power plant according to claim 2, characterized in that: When the temperature value of the analog signal at the last acquisition moment is less than or equal to the first preset temperature value, generating a temperature drop curve based on the sequence of acquisition moments of the temperature values ​​of the analog signal; Determining the temperature drop smoothness of the temperature drop curve; When the descent smoothness does not meet the preset descent smoothness threshold, it is determined that the valve of the sootblower is in a second fault state; wherein the fault level of the second fault state is lower than that of the first fault state, and the smaller the fault level, the lower the degree of harm.

4. The method for detecting a soot blower fault in a coal-fired power plant according to claim 3, characterized in that: When the descending smoothness satisfies the preset descending smoothness threshold, it is determined that the valve of the sootblower is in a non-fault state low.

5. The method for detecting faults of soot blowers in coal-fired power plants according to claim 2, characterized in that: When the opening and closing state is an open state, the opening and closing state corresponds to a second preset temperature value, and the second preset temperature value is greater than the first preset temperature value, and the soot blower is detected according to the opening and closing state, the preset temperature value corresponding to the opening and closing state, and each selected analog signal temperature value, including: Filtering out the analog signal temperature value at the last acquisition moment from the analog signal temperature values; Comparing the temperature value of the analog signal at the last acquisition moment with the second preset temperature value; When the temperature value of the analog signal at the last acquisition moment is less than the second preset temperature value, it is determined that the valve of the sootblower is in the third fault state.

6. The method for detecting faults of soot blowers in a coal-fired power plant according to claim 5, characterized in that: When the temperature value of the analog signal at the last acquisition moment is greater than or equal to the second preset temperature value, generating a temperature rise curve based on the sequence of acquisition moments of the temperature values ​​of the analog signal; Determining the rising smoothness of the temperature rising curve; When the rising smoothness does not meet the preset rising smoothness threshold, it is determined that the valve of the sootblower is in the fourth fault state; wherein the fault level of the fourth fault state is lower than that of the third fault state, and the smaller the fault level, the lower the degree of harm.

7. The method for detecting faults of soot blowers in a coal-fired power plant according to claim 6, characterized in that: When the rising smoothness satisfies the preset rising smoothness threshold, it is determined that the valve of the sootblower is in a non-fault state low.

8. The method for detecting faults of soot blowers in a coal-fired power plant according to claim 1, characterized in that: The intelligent data acquisition front-end module has a touch display screen, and the fault detection method further includes: The connection status of the intelligent data acquisition front-end module, the DCS control module and each of the temperature detection modules is displayed through the touch display screen.

9. The method for detecting faults of soot blowers in a coal-fired power plant according to claim 2, characterized in that: When it is determined that the sootblower is in a fault state, the fault detection method further includes: The DCS control module outputs alarm information.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the soot blower fault detection method in a coal-fired power plant as described in any one of claims 1 to 9 is implemented.

Citation Information

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